The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 28, 2026

Filed:

Oct. 24, 2019
Applicant:

Peridot Print Llc, Palo Alto, CA (US);

Inventors:

Victor Diego Gutierrez, Sant Cugat del Valles, ES;

Manuel Freire Garcia, Sant Cugat del Valles, ES;

Enrique Gurdiel Gonzalez, Sant Cugat del Valles, ES;

Assignee:

Peridot Print LLC, Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 30/10 (2020.01); B29C 64/386 (2017.01); B33Y 50/00 (2015.01); G05B 19/4093 (2006.01); G06F 111/10 (2020.01); G06F 119/18 (2020.01);
U.S. Cl.
CPC ...
G06F 30/10 (2020.01); B29C 64/386 (2017.08); B33Y 50/00 (2014.12); G05B 19/40931 (2013.01); G05B 2219/35148 (2013.01); G06F 2111/10 (2020.01); G06F 2119/18 (2020.01);
Abstract

An example method includes obtaining, by at least one processor, a plurality of categorised indications of deviations from expected dimensions for at least one object generated using an additive manufacturing apparatus wherein the categories comprise at least two of a first dimension type comprising dimensions which are expected to increase on application of a positive offset to object model data used to generate an object, a second dimension type comprising dimensions which are expected to decrease on application of a positive offset to the object to object model data used to generate an object, and a third dimension type comprising dimensions which are expected to be unaffected by application of an offset to object model data used to generate an object. The method may include determining a geometrical compensation model to apply to object model data for generating objects using additive manufacturing to compensate for anticipated deviations in dimensions.


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